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Network Analysis on Green Technology in National Research and Development Projects in Korea

Author

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  • Jae Yun Jeong

    (Department of Science and Technology Management Policy, University of Science and Technology, 217, Gajeong-ro, Yuseong-gu, Daejeon 34113, Korea
    NTIS Center, Korea Institute of Science and Technology Information, 245, Daehak-ro, Yuseong-gu, Daejeon 34113, Korea)

  • Inje Kang

    (Department of Science and Technology Management Policy, University of Science and Technology, 217, Gajeong-ro, Yuseong-gu, Daejeon 34113, Korea)

  • Ki Seok Choi

    (Department of Science and Technology Management Policy, University of Science and Technology, 217, Gajeong-ro, Yuseong-gu, Daejeon 34113, Korea
    NTIS Center, Korea Institute of Science and Technology Information, 245, Daehak-ro, Yuseong-gu, Daejeon 34113, Korea)

  • Byeong-Hee Lee

    (Department of Science and Technology Management Policy, University of Science and Technology, 217, Gajeong-ro, Yuseong-gu, Daejeon 34113, Korea
    NTIS Center, Korea Institute of Science and Technology Information, 245, Daehak-ro, Yuseong-gu, Daejeon 34113, Korea)

Abstract

This study examined how green technology (GT) has evolved recently in the domain of national research and development (R&D) in Korea. The analysis considered social network analysis by using keywords of national R&D projects in environmentally benign (‘green’ in this paper) technologies. Data for analysis were collected from the R&D database of the National Science and Technology Information Service (NTIS). By selecting the official GT category in the NTIS’s database, we gathered 53,896 GT R&D projects from 2011 to 2016 inclusive. By constructing a co-occurrence matrix with keywords, we conducted a centrality analysis (including degree, closeness, betweenness centrality) and visualized the network matrix to display a cluster map. This study presents the following findings: (1) the chronical trends of GT R&D, (2) focused fields of GT R&D, (3) the relations between keywords and GTs, and (4) the characteristics and problems in GT R&D. The paper ends with suggested policy implications to boost national GT R&D and to develop GTs in the future.

Suggested Citation

  • Jae Yun Jeong & Inje Kang & Ki Seok Choi & Byeong-Hee Lee, 2018. "Network Analysis on Green Technology in National Research and Development Projects in Korea," Sustainability, MDPI, vol. 10(4), pages 1-12, April.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:4:p:1043-:d:139174
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    1. Myoungjae Choi & Ohjin Kwon & Dongkyu Won & Wooseok Jang, 2021. "Identifying the Policy Direction of National R&D Programs Based on Data Envelopment Analysis and Diversity Index Approach," Sustainability, MDPI, vol. 13(22), pages 1-17, November.
    2. Chun-Wei Chen & Neng-Tang Huang & Hsien-Sheng Hsiao, 2022. "The Construction and Application of E-Learning Curricula Evaluation Metrics for Competency-Based Teacher Professional Development," Sustainability, MDPI, vol. 14(14), pages 1-22, July.
    3. Jaroslav Vrchota & Martin Pech & Ladislav Rolínek & Jiří Bednář, 2020. "Sustainability Outcomes of Green Processes in Relation to Industry 4.0 in Manufacturing: Systematic Review," Sustainability, MDPI, vol. 12(15), pages 1-47, July.
    4. Ji Yeon Lee & Richa Kumari & Jae Yun Jeong & Tae-Hyun Kim & Byeong-Hee Lee, 2020. "Knowledge Discovering on Graphene Green Technology by Text Mining in National R&D Projects in South Korea," Sustainability, MDPI, vol. 12(23), pages 1-16, November.

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